What runtime does Serper MCP Server require?
Python 3.11 or higher. It can be run via `uvx` (using `uv`) or directly with `python3` after `pip install`.
Serper MCP Server注目
@garymengcom
基本情報
Serper MCP Server について
A Serper MCP Server
Serper MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"serper": {
"command": "uvx",
"args": [
"serper-mcp-server"
],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}Serper MCP Server のツール
13Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Search Google for results
Scrape webpage by url
概要
What is Serper MCP Server?
A Model Context Protocol server that provides Google Search via Serper, enabling LLMs to get search result information from Google. It requires Python 3.11+ and a Serper API key.
How to use Serper MCP Server?
Install via Smithery (npx -y @smithery/cli install @garylab/serper-mcp-server --client claude), uvx (recommended), or pip. Configure the SERPER_API_KEY environment variable in your MCP client (e.g., claude_desktop_config.json). The server exposes multiple search tools (e.g., google_search, google_search_images) that can be called by the LLM.
Key features of Serper MCP Server
- Provides 13 different Google search tool types (web, images, videos, places, maps, reviews, news, shopping, lens, scholar, patents, autocomplete).
- Includes a
webpage_scrapetool for scraping web page content. - Installable via Smithery,
uvx, orpip. - Requires only a Serper API key for authentication.
- Released under the MIT License.
Use cases of Serper MCP Server
- Enable an LLM to fetch up-to-date Google search results for user queries.
- Retrieve images, news, or shopping results programmatically through a chat interface.
- Scrape web page content to augment LLM responses with live data.
- Integrate Google search capabilities into AI assistants or automation tools.
よくある質問
Where does the API key come from?
You must obtain a Serper API key from Serper (serper.dev) and set it as the `SERPER_API_KEY` environment variable.
What transports or authentication does it support?
It uses standard MCP transport (stdio) and authenticates via an environment variable (`SERPER_API_KEY`).
How can I debug the server?
Use the MCP Inspector: `npx @modelcontextprotocol/inspector uvx serper-mcp-server` or run from source with `npx @modelcontextprotocol/inspector uv run serper-mcp-server -e SERPER_API_KEY=<key>`.
Does the server have any known limitations?
The README does not mention any specific limitations beyond requiring Python 3.11+ and a valid Serper API key.
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